Gene gold turning to dust?
Governments are sinking further billions into genomics and related research but a new study finds no sign of revolution in healthcare.
ISIS Report 12/04/05
Why Genomics Wont Deliver
Dr. Mae-Wan Ho called the
human genome a "big white elephant" when it was first announced. It is indeed
turning out to be a useless idol robbing the public of investments that can
really deliver health to the nation equitably and effectively
A fully referenced version
of this article is posted on ISIS members website.
Details here.
The new eugenics
"We propose that the IQs of the populations are one of the principle but
hitherto unrecognised reasons why some countries are rich and others
poor
.
"
we believe it is likely that the difference in IQs between
nations have a substantial genetic basis."
In their book, IQ & the Wealth of Nations, Richard Lynn,
emeritus professor of psychology in University of Ulster, and Tatu Vanhanen,
emeritus professor of political science in the University of Finland (also
father of Finlands current Prime Minister who has distanced himself from
such ideas), took the two most dubious and controversial measures - IQ for
intelligence and GDP for wealth of the nation - saw a rough correlation between
the two, and claimed that the level of intelligence is responsible for how rich
or poor the country is, and further, that intelligence is genetically
determined.
In one bold stroke, they claim to have solved "the riddle of why some
countries are rich and others are so poor."
The book was widely publicised in the UK. The Times carried an
article on it, and BBC Radio 4 interviewed the Irish author twice on successive
days.
According to Lynn and Vanhanen, there are four groups of countries as
far as IQ scores are concerned. The highest scores, averaging 105, belong to
the Oriental peoples of the Pacific rim Japan, South Korea, Taiwan,
China, Hong Kong and Singapore; the Europeans in Europe, the United States,
Canada, Australia, and New Zealand average around 100; the natives of south
Asia, north Africa and most Latin American countries, average around 85; the
peoples in sub-Saharan Africa and the Caribbean average lowerst around 70.
In the UK, an IQ measure of 70 would put people within the lowest 2.5%
of the population, who will require special needs in education. So what can an
estimated average IQ of 63 for Ethiopia possibly mean but sheer nonsense at
worst, and at best, that the culture in that country is most different from
Europe, and that IQ tests are well known to be culturally and class-biased, and
notoriously unreliable for measuring intelligence.
Intelligence, anywhere in the world in any group, is not a quantity you
can grade on a single scale. It is a diverse and multifaceted faculty.
The wealth of nations, similarly, is poorly correlated with GDP.
Building prisons, waging wars, litigations over divorces, breaches of safety
and environmental protection all contribute a great deal to the GDP but not at
all to the wealth of the nation, and certainly not to its well being.
Publicity for this book came on the back of the 50th anniversary
celebration of the discovery of the double-helix of DNA in 2003, in which James
Watson, who shared a Nobel Prize with Francis Crick and Maurice Wilkins (both
recently deceased), was jetted many times across the oceans to give public
lectures.
"If you really are stupid, I would call that a disease. The lower 10
percent who really have difficulty, even in elementary school
whats the cause of it?" Watson was reported to have said, "A lot of
people would like to say, Well, poverty, things like that. It
probably isnt. So Id like to get rid of that, to help the lower 10
percent."
There are two ways to help the lower 10 percent, either by
preventing them from being born, if one could identify the bad
genes that cause stupidity, or give them gene therapy
or genetic enhancement, replacing the stupidity genes
with intelligent genes; neither of which has any scientific basis
whatsoever. But Watson is echoed by a coterie of bio-ethicists and
genetic engineers selling these fantasies as a subtle form of propaganda to
capture further funding and investment for genomics research.
Lynn and Vanhanen were riding on the new wave of eugenics that the human
genome project and the science of genomics the study and use of genomic
information - are threatening to deliver. Genomics also promises personalized
medicine depending on our individual genetic makeup.
But because genomics has been privatised through gene patenting and
proprietary databases, only the rich will get the benefit if any, while the
poor and disadvantaged will bear the brunt of genetic discrimination from
mandatory testing for health insurance and employment, and worse,
pre-implantation embryo selection or prenatal testing for genetic defects so
the unfit can be eliminated before birth.
Fortunately, neither the threat nor the promise will be fulfilled, and
thats where paying attention to science is so important, the
content of science as well as its social context.
Eugenics & the myth of genetic determinism
Eugenics is closed aligned with genetic determinism, the idea that
organisms are hardwired in their genes. Genetic determinism is one of the most
persistent dogmas in western science, and has little more substance than its
forerunner, the folklore that blood line determines destiny; which
has provided the ideological backdrop to racism, racial discrimination and
violence against generations of indigenous peoples, blacks, Asians, Jews and
other socially and politically dispossessed groups.
James Watson sold the Human Genome Project to the US and other
governments by exploiting this genetic determinist myth: "We used to think our
fate was written in the stars. Now we know it is written in our genes."
But when the human genome sequence was announced in 2001, private
entrepreneur gene sequencer Craig Venter admitted that the genetic determinist
myth could no longer be sustained: "We simply do not have enough genes for this
idea of biological determinism to be right
The wonderful diversity of the
human species is not hard-wired in our genetic code. Our environments are
critical." This sent the genomics stock market on a downward spiral from which
it never recovered.
In January 2002, Venter was sacked from the company Celera he created to
sequence the human genome. Since then, genomics companies have rapidly gone out
of business or switched directions to concentrate on drug
discovery, to little avail. Celera reported a net loss of $19.4 million
for the quarter ending December 31, 2004, considerably worse than the loss of
$13.6 million the same quarter last year.
Venter told Business Week: "Biotech investors bought into the
notion
that one gene leads to one protein and that equals £1
billion. Everyone thought there was a direct linear relationship between the
genes and the breakthroughs. It was bio-babble. In reality, the genes are just
the tip of the iceberg."
He also said, "companies see treating chronic disease as good for
business. Instead of curing diabetes, for example, they want to treat it."
"Patients are a bankable asset"
Back in 2000, the Guardian newspaper carried an article on its
financial page headlined, "Gene hunters say patients are a bankable asset". A
California start-up company DNA Sciences set up a website to recruit DNA donors
to help find genes that cause diseases. The company had James Watson as
director and James Clark, founder of Netscape as an investor. It hoped to get
50 000 to 100 000 people to donate their DNA by appealing to their altruism.
That company went bankrupt in April 2003, and was bought by Genaissance
Pharmaceutical Inc. for a mere £1.35million in cash.
The hype on genomics started with the controversial takeover of the DNA
database and health records of Icelands entire population by the private
company DeCode Genetics in 1999. Thousands of Icelanders fell victim to the
hype and invested millions. At their peak in 2001, shares were changing hands
for $65. By the end of 2002, the shares listed on the Nasdaq index in New York
had slumped to about $2.
I had warned against investing further in human genome research in 2000,
as it had all the signs of being a "a scientific and financial black hole". A
year later, I called the human genome a "big white elephant", a useless idol
that will bankrupt the nation, robbing the public of investments that can
really deliver the health of the nation.
But the desperate UK government went ahead with its DNA Biobank in 2002,
funded so far at £62 million, to amass DNA and medical records from 500
000 volunteers aged between 45-69, to help researchers "unravel the origins" of
important diseases such as heart disease, cancer diabetes and Alzheimers.
Critical voices
In March 2003, the highly influential House of Commons Select Committee
on Science and Technology criticised the Biobank project as "politically
driven"; and that the Medical Research Council leading the project had not
adequately consulted the scientific community ("Parliament faults Research
Council & DNA biobank",
SiS 18).
Then, Sydney Brenner, who shared the 2002 Nobel Prize in physiology and
medicine jointly with John Sulston and Robert Horvitz, told the BBC in
September 2003 that more money should be invested in health education than in
designing genetically tailored drugs [13]: "There are two kinds of health care.
Theres taking care of the health of the public and theres taking
care of the financial health of the drug companies
you hear all these
things about the human genome or personalised medicine and newer and safer
drugs
.maybe there is a new public health to be created. Maybe we should
think of other ways of doing it." ("Nobel geneticist spurns genomics",
SiS 20).
A year later, Sir Alec Jeffreys of Leicester University, inventor of DNA
fingerprinting, warned that the costs of UKs Biobank could spiral out of
control, with "nothing useful" coming out of it. He said the money could be
better spent on smaller, targeted projects to look at genetic and lifestyle
factors in particular diseases.
To get "the full richness of genetic information" from all 500 000
people involves using millions of genetic markers, or trillions overall. Even
if it costs a penny a time, the overall bill will come to £10 billion,
said Jeffreys.
In the same month, UKs Royal Society announced a year-long
enquiry, headed by geneticist Sir David Weatherall, into the substance behind
the hype of designer personalised medicine, or pharmacogenetics.
Sir David said, "This study will look at whether pharmacogenetics, the
designing of drug treatments based on a persons genetic makeup, is a
scientifically achievable aim
. Equally importantly it will look at
whether healthcare systems in the UK and elsewhere have the resources to
implement such technologies..."
Actually, critical voices have been raised from within the
pharmaceutical industry almost as soon as the human genome map was announced.
Writing in the journal Nature, Alan Roses of Glaxo Wellcome had made
clear what the obstacles are to realising the goals of pharmacogenetics. It is
very expensive to validate the new drug targets, so pharmaceutical companies
prefer to make new variants of old drugs.
Roses distinguished discovery genomics from discovery
genetics. The former uses databases of DNA sequence information to
identify genes and families of genes for possible drug targets; but these are
not known to be associated with any disease, and worse, genes with similar
sequences often have very different functions. The latter, discovery
genetics uses human population data, like UKs DNA Biobank to
identify disease-related susceptibility genes. But susceptibility genes are not
drug targets, particularly because there are likely to be dozens if not
hundreds associated with each common disease.
Designer drugs are not a scientifically achievable aim if one takes
seriously what genetics science has been telling us.
What does genomics tell us?
According to the latest genome map statistics (Box 1), the classical
(coding) gene sequences comprise a puny 1.5% of the genome, and the number of
genes has dropped to its lowest, ever, between 20 000 and 25 000. The
complexities are in the other parts of the genome, and downstream processes:
the 97 to 98% of the transcripts that dont code for proteins, and
proteins that are 100 to 1000 times more numerous than genes due to alternative
initiation of transcription, alternative splicing, trans-splicing, RNA-editing,
and post-translational modifications (see later).
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Box 1
Human genome statistics
- The actual human genome is 20% heterochromatin (not containing
genes, not transcribed) and 80% euchromatin (gene-containing or actively
transcribed)
- The human genome sequence is the euchromatin only;
and is 99% complete (except for 341 gaps) to 99.99% accuracy
- There are 3.7 million mapped human single nucleotide
polymorphisms (SNPs)
- There are probably between 20 000 and 25 000 genes, but only 15
000 full-length human cDNA identified
- The coding sequences comprise 1.5% of the sequenced human
genome, with the average protein-coding transcript being 95% introns; hence
some 70% of the genome contains only non-coding DNA
- At least half of the genome is transcribed, of which around 97
to 98% is non-protein coding
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To deal with the ever expanding complexities, "systems biology" has been
invented ("No system in systems biology",
SiS21) that
effectively promises not just to map, but to exhaustively amass data on the
genome (the genetic text), the transcriptome (all the RNA
transcribed or copied), the proteome (all the proteins translated),
the metabolome (all the metabolites due to chemical reactions), in
the vain hope that the true meaning of life will emerge before the data deluge
overflows the computer storage capacity of the entire planet and drowns us
all.
A much touted technique for amassing data on the
transcriptome is the microarray of short DNA sequences immobilised
on a glass plate, that enables researchers to compare and quantify the
transcripts of thousands, if not tens of thousands of genes all at once (see
"Gene gold turning to dust", this series). Such studies have been increasing
exponentially since the mid 1990s. Unfortunately, most, if not all of them
proved difficult to reproduce, sometimes even within the same laboratory. Some
scientists have described microarray studies as a "methodological wasteland".
But the problems are much deeper. Short probes for specific genes will
invariably give inconsistent or contradictory results on account of processes
such as alternative splicing that shuffles coding regions of the same or
different genes and RNA editing that changes them beyond recognition from their
genomic counterparts. Considering that gene transcripts are only 2 to 3% of the
transcriptome, no serious scientist could really think it possible, or useful
to map all of the transcripts.
Given these insurmountable problems of RNA complexity, it is perhaps
foolish to consider tackling the proteome, which may contain
millions or tens of millions of different proteins [24]. Several studies have
already shown that there is a poor correlation between mRNA and protein on
account of further post-transcriptional control of protein translation, and
post-translational modification of proteins and protein degradation. Recent
estimates suggest that there are more than 200 types of protein modification,
and 5 to 10% of mammalian genes code for proteins that modify other
proteins.
But it is the fluidity of the genome that ultimately defeats
the purpose of the exercise.
What the fluid genome tells us about health and disease
The old genetics based on the Central Dogma supposes that the genetic
text is written once and for all, and is transcribed and translated with
fidelity. (This has usually been associated with hard-line genetic determinism;
although Crick himself may have denied this in an apologia written later, where
he said: "The central dogma of molecular biology deals with the detailed
residue-by-residue transfer of sequential information. It states that such
information cannot be transferred from protein to either protein or nucleic
acid.")
In contrast, the fluid genome of the new genetics that has
emerged since the early 1980s says that the genome and its genes are in
constant conversation with the environment that changes not only how the
genetic text is translated from moment to moment, but reinterpreted and
rewritten in the light of experience. Furthermore, multiple tangled paths lead
from the genetic text to final translation and back to the text (see "Life
after the Central Dogma" series,
SiS24).
Chemical markings on the DNA and proteins binding to the DNA in the
chromosomes determine patterns of gene expression, i.e., which bits of the
genetic text are actually read. That is very much influenced by experience. For
example, the mothers diet and stress from assisted reproductive
technologies - can affect patterns of gene expression in the embryo and foetus,
which determines its health prospects as adults, in terms of susceptibility to
a range of disease including cancer, stroke, diabetes, schizophrenia, manic
depression ("Whats wrong with assisted reproductive technologies",
SiS 20).
Researchers have even found genes that are marked for life in rat pups,
strictly by how their mothers care for them during their first week of life
after birth (see "Caring mothers reduce stress for life",
SiS 24). It
leaves one in no doubt that the environment is giving the instruction on which
genes to turn on or off.
Only a few years ago, people were referring to the 98% to 99% of the
genome that doesnt code for proteins as "junk DNA". Not any more. The
genome has a definite architecture that holds up beneath the
fluidity. There is a high degree of non-randomness in the parts of the genome
that undergo change. While some parts are hypermutable, certain families of
sequences are homogenized to be nearly identical ("How to keep in
concert" SiS
24), while still others are ultraconservative in that they have
remained absolutely unchanged in hundreds of millions of years of evolution
("Are ultraconserved elements indispensable?"
SiS 24).
Geneticists have speculated that the ultraconserved elements must have been
under severe selection pressure. But when they chopped out large
blocks of them from transgenic mice, those mice managed happily without them.
And when cells get into a tight corner metabolically speaking, there may
even be genes that mutate to get them out of it ("To mutate or not to mutate"
SiS 24).
There were early indications that the "junk DNA" may conceal a treasure
trove of DNA sequences that are involved in coordinating the expression of
suites of genes that have to act together to carry out complex functions
("Molecular genetic engineers in junk DNA?",
SiS 19). Little
did geneticists suspect that most of the action is not carried out by proteins,
but by numerous species of RNA interfering at all levels of the
readout of genetic information ( "Subverting the genetic text",
SiS 24).
In what looks like a vast underworld of heresy to the Central Dogma, RNA
agents decide which bits of text to copy, which copies to destroy, delete and
splice together, which copies to transform into a totally different message and
finally, which resulting message - that may bear little resemblance to the
original text - gets translated into protein. RNAs even seem to decide which
parts of the sacred text to rewrite or corrupt.
And this underworld is huge. Remember that at least half of the genome
is transcribed, and around 97 98% of the transcripts of the human genome
are non-protein-coding and potentially interfering RNAs.
Which is why genomics wont deliver the health of nations
To sum up, conventional gene sequences that are translated into protein
are just the tiny tips of huge mountains of concealed complexity beneath. Most
of the action is in the 98.5 to 99% non-gene DNA and non-coding transcripts.
There are well-known interactions between genes, dozens, possibly hundreds of
transcription factors control the expression of overlapping sets of genes, that
feed forward and feedback on one another, not to mention all the fluid genome
processes that mark, convert or mutate genes in non-random ways.
There is no stable reference point to pin down an individuals
genome, transcriptome or proteome during his or her lifetime. Hunting for
susceptibility genes or markers is like trawling for disappearing needles in an
ever-shifting haystack.
And in stark contrast to the subtle, elusive effects of susceptibility
genes, environmental influences swamp out even large genetic differences. The
obesity epidemic is a case in point. The majority of Europeans,
Americans, Asians, Africans, Australians, New Zealanders, whatever, become
overweight when they eat too much junk food and exercise too little. They also
get cancers from radioactive wastes, pesticides and other industrial
pollutants.
The DNA BioBank is a phenomenal waste of financial and intellectual
resources (Box 2), and a massive distraction from addressing the real causes of
ill health.
New evidence shows that toxic agents in the environment scramble genome
sequences, and that those scrambled sequences may be linked to a range of
chronic illnesses such Gulf War Syndrome, chronic fatigue syndrome, autoimmune
diseases and leukaemia ( "Health and the fluid genome" series,
SiS 19).
To keep our fluid genome constant and healthy, we need a balanced
ecosystem free from pollutants, we need to move away from industrial
monoculture to a biodiverse, sustainable agriculture that provides a nutritious
diet to overcome both macronutrient and micronutrient deficiencies that
compromise our physical and mental health, and to promote our natural immunity
against infectious diseases including AIDS. These are infinitely more
affordable measures that will benefit everyone, rich or poor.
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Box 2
Why DNA BioBanks are Useless
- There are perhaps 100 times as many different proteins as
genes, the paths from genes to proteins are complex, nonlinear and circular.
Knowing the genes doesnt help much.
- Gene functions are mutually entangled in complex networks and
strongly influenced by environmental feedback. The effects of individual
genes cannot be separated from other.
- Genes and genomes are in constant flux, updating and changing
in both function and structure as the organism acts on and responds to the
environment. There is no constant reference point for comparing different
genomes.
- The protein coding sequences comprise at most 1.5% of the human
genome. Vast areas consist of non-coding DNA that are transcribed and
increasingly found to be responsible for yet further layers of complexity in
regulating gene function and structure. Gene sequences really dont
tell much of the story.
- There are insurmountable methodological and conceptual problems
in mapping the functions of the genome, the transcriptome and the proteome.
It cant be done.
- No useful information will emerge from the vastly complex data
amassed. No sense will come out of it.
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